A tokenizer trained on more languages than the model's main pretraining set makes later language adaptation faster and better, with minimal loss on the pretraining languages.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers
A tokenizer trained on more languages than the model's main pretraining set makes later language adaptation faster and better, with minimal loss on the pretraining languages.